Remote Computational Labs for Educational Activities via a Cloud Computing Platform

J. Damian Segrelles, Germán Moltó, and Miguel Caballer. Remote Computational Labs for Educational Activities via a Cloud Computing Platform. In 2015 Proceedings of the Information Systems Education Conference (ISECON), pp. 309–321, 2015.

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Abstract

This paper describes the application of a Cloud Computing platform (ODISEA) to deploy and manage the infrastructure required to support remote computational labs across subjects that address computer-related topics such as Cloud Computing, Big Data and Scalable Architectures. ODISEA enables the lecturer to describe using a high level language the requirements (hardware, software and configuration) of the computational labs. The system provisions the required computing resources from multiple Cloud providers and automatically configures them for students to be able to access the remote labs to carry out the hands-on labs. This platform has been used for different subjects in a Master’s Degree in Parallel and Distributed Computing and in an online postgraduate course to support the hands-on labs for well over 300 students across 9 countries since the academic course 2013/2014. The results show that ODISEA enables lecturers to easily deploy remote computational labs, thus being able to offer students access to a wide variety of computational infrastructures to train their appropriate skills. In turn, students gain anytime and anywhere connectivity to the hands-on labs.

BibTeX Entry

@inproceedings{Molto2015rcl,
   abstract = {This paper describes the application of a Cloud Computing platform (ODISEA) to deploy and manage the infrastructure required to support remote computational labs across subjects that address computer-related topics such as Cloud Computing, Big Data and Scalable Architectures. ODISEA enables the lecturer to describe using a high level language the requirements (hardware, software and configuration) of the computational labs. The system provisions the required computing resources from multiple Cloud providers and automatically configures them for students to be able to access the remote labs to carry out the hands-on labs. This platform has been used for different subjects in a Master’s Degree in Parallel and Distributed Computing and in an online postgraduate course to support the hands-on labs for well over 300 students across 9 countries since the academic course 2013/2014. The results show that ODISEA enables lecturers to easily deploy remote computational labs, thus being able to offer students access to a wide variety of computational infrastructures to train their appropriate skills. In turn, students gain anytime and anywhere connectivity to the hands-on labs.},
   author = {J. Damian Segrelles and Germán Moltó and Miguel Caballer},
   booktitle = {2015 Proceedings of the Information Systems Education Conference (ISECON)},
   keywords = {Big Data,Big Data.,Cloud Computing,Technology-Enhanced Learning,Virtualization},
   pages = {309-321},
   title = {Remote Computational Labs for Educational Activities via a Cloud Computing Platform},
   url = {http://proceedings.isecon.org/download/ki9hcpvocepkcwky5te9},
   year = {2015}
}